CN117566823B - Distributed EGA intelligent tank remote intelligent control system for sewage treatment - Google Patents
Distributed EGA intelligent tank remote intelligent control system for sewage treatment Download PDFInfo
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- 239000010865 sewage Substances 0.000 title claims abstract description 298
- 238000012544 monitoring process Methods 0.000 claims abstract description 79
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims description 28
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 24
- 230000009191 jumping Effects 0.000 claims description 18
- 238000012800 visualization Methods 0.000 claims description 17
- 238000004659 sterilization and disinfection Methods 0.000 claims description 9
- 238000004065 wastewater treatment Methods 0.000 claims description 8
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 230000001276 controlling effect Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- AHEWZZJEDQVLOP-UHFFFAOYSA-N monobromobimane Chemical compound BrCC1=C(C)C(=O)N2N1C(C)=C(C)C2=O AHEWZZJEDQVLOP-UHFFFAOYSA-N 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 238000011268 retreatment Methods 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 3
- 239000002351 wastewater Substances 0.000 claims 7
- 239000000126 substance Substances 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 5
- 238000000746 purification Methods 0.000 abstract description 3
- 238000011403 purification operation Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 5
- 230000010365 information processing Effects 0.000 description 4
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/005—Processes using a programmable logic controller [PLC]
- C02F2209/008—Processes using a programmable logic controller [PLC] comprising telecommunication features, e.g. modems or antennas
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- Automation & Control Theory (AREA)
- Life Sciences & Earth Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Purification Treatments By Anaerobic Or Anaerobic And Aerobic Bacteria Or Animals (AREA)
Abstract
The invention relates to the technical field of EGA intelligent tanks, in particular to a remote intelligent control system of an EGA intelligent tank for decentralized sewage treatment, which comprises a control terminal, a monitoring layer, a control layer and an analysis layer; the control terminal is a main control terminal of the system and is used for sending out an execution command; the invention can bring intelligent control effect to the EGA intelligent tank, provide remote control condition for the EGA intelligent tank, greatly reduce labor cost for EGA intelligent tank management, and adapt to new purification operation to the sewage based on the actual state of the sewage in the operation process of the EGA intelligent tank, thereby ensuring that the purification treatment of the sewage obtained by the EGA intelligent tank is more effective and stable.
Description
Technical Field
The invention relates to the technical field of EGA intelligent tanks, in particular to a remote intelligent control system of an EGA intelligent tank for decentralized sewage treatment.
Background
The EGA intelligent tank is sewage treatment equipment and is widely applied to various sewage treatment application scenes.
The invention patent with application number 202110311555.8 discloses an integrated distributed rural sewage treatment station intelligent control system, which is characterized by comprising a plurality of sewage treatment stations, a cloud server control center environment monitoring module and an information processing system, wherein the sewage treatment stations are respectively connected with the cloud server control center, the environment monitoring module and the information processing system through communication modules:
the environment monitoring module comprises a current monitoring module, a voltage monitoring module, a power monitoring module, a formaldehyde detection terminal, a temperature monitoring module, a humidity monitoring module and a water quality monitoring module which are sequentially connected, the environment monitoring module is electrically connected with sewage treatment equipment in the sewage treatment station, the control center comprises a data acquisition module, a video monitoring module and a water quality monitoring module which are sequentially connected, the data acquisition module is used for receiving operation parameters fed back by the sewage treatment equipment and the environment monitoring module, and the operation states of the sewage treatment equipment and the environment monitoring module are determined according to the operation parameters to process collected data information:
the information processing system is used for evaluating the running state of the sewage treatment equipment and feeding back the running state to the cloud server, the information processing system is used for acquiring data to be processed, carrying out standardized processing on the data to be processed through a sensor network, judging whether the environmental parameters of the environment monitoring module meet preset sewage treatment equipment parameter smell conditions, and sending a control instruction to the sewage treatment station to control the corresponding sewage treatment equipment to operate when certain sewage treatment equipment parameters do not meet the preset sewage treatment equipment parameter conditions.
The application aims at solving the problems: the sewage treatment at the present stage has the following defects: the degree of automation is not high, and the device has the advantages of low cost,
the sewage treatment efficiency is low; the problems of unsatisfactory sewage treatment effect and low efficiency caused by the incomplete operation and maintenance in the later period, thereby causing the quality of the effluent to be up to the standard; when the drainage exceeds the standard due to the problem of system operation, the system cannot be fed back and maintained in time; the diversification of monitoring targets and the decentralization of a monitoring system still adopt a wired connection mode, so that the cost is too high and the flexibility is lacking; the field environment is bad, the emergency situation can not be dealt with by adopting manual regular monitoring, and the problem of 'is solved'.
However, for the sewage treatment system constructed by the current EGA intelligent tank, the sewage treatment system is continuously operated through the set operation logic in the use process, the main significance is that the sewage treatment capacity is mainly highlighted, a certain amount of management personnel still need to be configured for daily maintenance operation, a certain amount of equipment operation and maintenance expenditure is generated, and the operation intelligence degree is yet to be developed.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a distributed EGA intelligent tank remote intelligent control system for sewage treatment, which solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
an EGA intelligent tank remote intelligent control system for decentralized sewage treatment comprises a control terminal, a monitoring layer, a control layer and an analysis layer;
the control terminal is a main control terminal of the system and is used for sending out an execution command;
monitoring the sewage received by the sewage plant by a monitoring layer to acquire a received sewage state parameter, synchronously setting EGA intelligent tank operation logic based on the acquired sewage state parameter and feeding back the EGA intelligent tank operation logic to a control layer, wherein the control layer receives the EGA intelligent tank operation logic set in the monitoring layer in real time, drives the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, receives the sewage, processes the sewage based on the set EGA intelligent tank operation logic, and executes the acquisition operation of the sewage state parameter again by the monitoring layer, feeds back the acquired sewage state parameter to an analysis layer, and the analysis layer decides the circulation of the sewage based on the received sewage state parameter and synchronously receives the sewage state parameter acquired by the last operation of the monitoring layer, and evaluates the sewage processing capacity of the EGA intelligent tank based on the two groups of the received sewage state parameters;
the control layer comprises a receiving module, a driving module, a jumping module and a feedback module, wherein the receiving module is used for receiving EGA intelligent tank operation logic set in the monitoring layer, the driving module is used for acquiring the EGA intelligent tank operation logic received in the receiving module, driving the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, the jumping module is used for monitoring the EGA intelligent tank operation logic operation state, jumping is triggered to the monitoring layer based on the EGA intelligent tank operation logic operation state, the state parameter of the treated sewage which is completed by the EGA intelligent tank by using the monitoring layer is acquired again, and the feedback module is used for receiving the sewage state parameter which is acquired by controlling the jumping in the jumping module to enable the monitoring layer to operate again and feeding the sewage state parameter back to the anti-analysis layer;
the logic for triggering the jump based on the EGA intelligent slot operation logic operation state in the jump module is expressed as follows:
wherein: t (T) all Monitoring the total amount of EGA intelligent tank operation logic operation time; u is a set of stations in the EGA intelligent tank; q (Q) a The circulation times of sewage in a working position a in the EGA intelligent tank are shown; t (T) a The single circulation time of the sewage in the station a in the EGA intelligent tank is set;
the jump module is used for monitoring the running state of the EGA intelligent slot in real time in the running stage, and synchronously applying when the running state of the EGA intelligent slot is switched to the starting state based on running logicT all Perform timing operations, at T all After the timing is finished, the skip module further executes the operation of controlling skip and controls the monitoring layer to run again.
Further, the monitoring layer comprises an acquisition module, a recognition module and a setting module, wherein the acquisition module is integrated by the regulating valve and the camera module, the acquisition module is used for acquiring the flow and the sewage image data of the sewage received by the sewage plant, the recognition module is used for receiving the sewage flow and the sewage image data acquired by the acquisition module, recognizing the sewage state parameters based on the sewage flow and the sewage image data, the setting module is used for acquiring the sewage state parameters recognized by the recognition module, setting EGA intelligent tank operation logic by using the sewage state parameters and feeding back to the control layer;
the EGA intelligent tank is integrated by an oxygen eliminating tank station, an anaerobic filter tank station, an aerobic MBBR tank station, a filter tank and a disinfection tank, sewage received by a sewage plant is input to the anaerobic filter tank station of the EGA intelligent tank through a pipeline, and purified sewage obtained after being treated by all stations is output in the disinfection tank.
Still further, the recognition logic of the sewage status parameter in the recognition module is expressed as:
wherein:is a sewage state parameter; n is the total number of pixels in the sewage image; c (C) i A color value for the ith pixel; mu (mu) c The color mean value of the sewage image; chi is an influencing factor; />The maximum value of the color characteristic vector in the sewage image; />A minimum value of the color feature vector in the sewage image;i (I) is the gray value of the ith pixel; m is the gray average value of the sewage image;
wherein,sewage status parameter->The larger the value of (c) is, the higher the sewage pollution level is, and conversely, the lower the sewage pollution level is.
Further, the influence factor χ is obtained by the following formula:
wherein: g is the total amount of sewage fed into the anaerobic filter station; f is the instantaneous flow obtained based on the regulating valve when the sewage is sent into the anaerobic filter station; s is the collection of the pipeline connecting branch pipes used for feeding the anaerobic filter station; l (L) p And (3) feeding the p-th group into a pipeline connecting branch pipe used for the anaerobic filter station and a pipeline connecting node used for the anaerobic filter station to the pipeline part length of the anaerobic filter station.
Further, the sewage status parameterAfter the determination, the setting module is further based on the sewage status parameter +.>Setting EGA intelligent tank operation logic, wherein the set EGA intelligent tank operation logic is the circulation process of sewage in each station in the EGA intelligent tank, the circulation process of sewage in each station in the EGA intelligent tank comprises circulation times and residence time of sewage in each station in the EGA intelligent tank, and the circulation times and residence time of sewage in each station in the EGA intelligent tank obey the following conditions: parameters of sewage statusThe larger the value, the longer the number of turns and the residence time, specifically expressed as:
wherein: t (a) is single circulation time, namely residence time, of sewage in a station a in the EGA intelligent tank; q (a) is the circulation times of sewage in a working position a in the EGA intelligent tank; epsilon ', epsilon' are constants;
the epsilon 'corresponding to the single circulation time is set differently based on each station in the EGA intelligent tank, epsilon' corresponding to the circulation times is calculated based on any group of stations in the EGA intelligent tank and is further applied to the stations in all EGA intelligent tanks, epsilon '> 0, epsilon' is more than or equal to 1, values of epsilon 'and epsilon' are manually set by a user at a system end, and Q (a) is rounded up in the application stage after calculation.
Still further, set up the effluent water sump between the anaerobic filter station of EGA intelligent tank and the water inlet pipeline that it is connected, the effluent water sump is connected through the valve with the water inlet pipeline, the effluent water sump receives sewage to sink into in the effluent water sump in real time, the effluent water sump passes through the valve control and the intercommunication switching of water inlet pipeline, under the valve open state, sewage in the effluent water sump flows through the valve, anaerobic filter station input to EGA intelligent tank through the water inlet pipeline, under the system running state, the valve that links to each other with effluent water sump and water inlet pipeline is in continuous closed state, after the disinfection groove output of EGA intelligent tank accomplishes the sewage of handling, switch to the open state.
Further, the analysis layer comprises a decision module and an evaluation module, the decision module is used for receiving the sewage state parameters fed back by the feedback module in the control layer and the sewage state parameters acquired by the last operation of the monitoring layer, deciding the EGA intelligent tank to execute the retreatment or output on the sewage after the treatment based on the two groups of sewage state parameters, and the evaluation module is used for receiving the two groups of sewage state parameters applied in the decision stage of the decision module operation and evaluating the sewage treatment capacity of the EGA intelligent tank by applying the two groups of sewage state parameters;
wherein, the decision logic in the decision module is expressed as:
wherein:the sewage state parameters are acquired for the last operation of the monitoring layer; />The sewage state parameters are fed back by the feedback module;
and if the above formula is established, the decision result of the decision module is that the EGA intelligent tank executes the secondary treatment on the treated sewage, otherwise, the decision result of the decision module is that the EGA intelligent tank executes the output on the treated sewage.
Furthermore, the evaluation result of the EGA intelligent tank sewage treatment capability in the evaluation module is obtained by the following formula:
wherein: delta is the sewage treatment capacity representation value of the EGA intelligent tank;after the EGA intelligent tank executes the secondary treatment operation on the treated sewage, the identification module in the monitoring layer synchronously operates the identified sewage state parameters;
the larger the EGA intelligent tank sewage treatment capacity expression value delta is, the better the EGA intelligent tank sewage treatment capacity is, and otherwise, the worse the EGA intelligent tank sewage treatment capacity is.
Further, the lower level of the evaluation module is provided with a sub-module which comprises a visualization unit, wherein the visualization unit is used for receiving the decision module and running application in the evaluation moduleIs->Based on->Is->Generating a line graph according to the corresponding parameters;
wherein, the system end user accesses the system through the wireless network, and the pair is based on the visualization unitIs->Reading a line graph generated by corresponding parameters, and continuously receiving by a visualization unit in a system continuous running stateIs->Using continuously received->Is->And generating a parameter representation line, placing the generated parameter representation line in a coordinate system formed by the same horizontal axis and the same vertical axis, and forming a line graph generated in the visualization unit by a coordinate system formed by a plurality of groups of parameter representation lines and a group of horizontal axis and a group of vertical axis.
Furthermore, the receiving module is electrically connected with the driving module, the jumping module and the feedback module through a medium, the receiving module is interactively connected with the setting module through a wireless network, the setting module is interactively connected with the acquisition module and the identification module through the medium, the feedback module is interactively connected with the decision module through the wireless network, the decision module is electrically connected with the evaluation module through the medium, and the lower stage of the evaluation module is electrically connected with the visualization unit through the medium.
Compared with the prior art, the technical proposal provided by the invention has the following advantages that
The beneficial effects are that:
1. the invention provides a distributed EGA intelligent tank remote intelligent control system for sewage treatment, which can bring intelligent control effect to EGA intelligent tanks in the running process, and provide EGA intelligent tank remote control conditions, so that the labor cost for EGA intelligent tank management is greatly reduced, and the EGA intelligent tank can adapt to new purification operation to sewage based on the actual state of the sewage in the running process, thereby ensuring that the purification treatment of the sewage obtained by the EGA intelligent tank is more effective and stable.
2. The EGA intelligent tank operation logic designed and set by the system is not provided with the designated operation logic for the EGA intelligent tank, but is configured in real time on the sewage to be treated according to the operation logic meeting the sewage treatment requirement, so that the sewage in any state can be purified better under the condition of carrying the intelligent control of the system through the EGA intelligent tank.
3. In the running process of the system, the sewage treatment capacity of the EGA intelligent tank can be monitored and evaluated in real time based on the result of the operation of the EGA intelligent tank on the sewage treatment, so that the stability of the application operation of the EGA intelligent tank is further ensured, and meanwhile, based on the feedback of the monitoring and evaluation result, a background manager of the EGA intelligent tank is facilitated to perform more adaptive maintenance and management on the EGA intelligent tank, so that the running process of the EGA intelligent tank is safer.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a distributed EGA intelligent tank remote intelligent control system for sewage treatment;
FIG. 2 is a line graph showing sewage status parameters in the present invention;
FIG. 3 is a schematic diagram showing the internal stations of the EGA intelligent tank according to the present invention;
fig. 4 is a schematic diagram showing the logic principle of the EGA smart slot operation in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
the remote intelligent control system of the EGA intelligent tank for the decentralized sewage treatment of the embodiment comprises a control terminal, a monitoring layer, a control layer and an analysis layer as shown in figure 1;
the control terminal is a main control terminal of the system and is used for sending out an execution command;
monitoring the sewage received by the sewage plant by a monitoring layer to acquire a received sewage state parameter, synchronously setting EGA intelligent tank operation logic based on the acquired sewage state parameter and feeding back the EGA intelligent tank operation logic to a control layer, wherein the control layer receives the EGA intelligent tank operation logic set in the monitoring layer in real time, drives the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, receives the sewage, processes the sewage based on the set EGA intelligent tank operation logic, and executes the acquisition operation of the sewage state parameter again by the monitoring layer, feeds back the acquired sewage state parameter to an analysis layer, and the analysis layer decides the circulation of the sewage based on the received sewage state parameter and synchronously receives the sewage state parameter acquired by the last operation of the monitoring layer, and evaluates the sewage processing capacity of the EGA intelligent tank based on the two groups of the received sewage state parameters;
the monitoring layer comprises an acquisition module, a recognition module and a setting module, wherein the acquisition module is integrated by the regulating valve and the camera module, the acquisition module is used for acquiring the flow and the sewage image data of the sewage received by the sewage plant, the recognition module is used for receiving the sewage flow and the sewage image data acquired by the acquisition module, recognizing the sewage state parameters based on the sewage flow and the sewage image data, the setting module is used for acquiring the sewage state parameters recognized by the recognition module, setting EGA intelligent tank operation logic by applying the sewage state parameters and feeding back to the control layer;
the EGA intelligent tank is integrated by an oxygen eliminating tank station, an anaerobic filter tank station, an aerobic MBBR tank station, a filter tank and a disinfection tank, sewage received by a sewage plant is input to the anaerobic filter tank station of the EGA intelligent tank through a pipeline, and purified sewage obtained after treatment by all stations is output in the disinfection tank;
the control layer comprises a receiving module, a driving module, a jumping module and a feedback module, wherein the receiving module is used for receiving EGA intelligent tank operation logic set in the monitoring layer, the driving module is used for acquiring the EGA intelligent tank operation logic received in the receiving module, driving the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, the jumping module is used for monitoring the EGA intelligent tank operation logic operation state, jumping is triggered to the monitoring layer based on the EGA intelligent tank operation logic operation state, the monitoring layer is used for acquiring state parameters of sewage which is processed by the EGA intelligent tank again, and the feedback module is used for receiving the state parameters of the sewage which are acquired by controlling the jumping in the jumping module to enable the monitoring layer to operate again and feeding back the state parameters of the sewage to the anti-analysis layer;
the logic for triggering the jump based on the EGA intelligent slot operation logic operation state in the jump module is expressed as follows:
wherein: t (T) all Monitoring the total amount of EGA intelligent tank operation logic operation time; u is a set of stations in the EGA intelligent tank; q (Q) a The circulation times of sewage in a working position a in the EGA intelligent tank are shown; t (T) a The single circulation time of the sewage in the station a in the EGA intelligent tank is set;
the operation state of the EGA intelligent slot is monitored in real time, and when the operation state of the EGA intelligent slot is switched to the opening state based on operation logic, the T is synchronously applied all Perform timing operations, at T all After timing is finished, the skip module further executes control skip operation to control the monitoring layer to run again;
the analysis layer comprises a decision module and an evaluation module, wherein the decision module is used for receiving the sewage state parameters fed back by the feedback module in the control layer and the sewage state parameters acquired by the last operation of the monitoring layer, deciding the EGA intelligent tank to execute the retreatment or output on the sewage after finishing the treatment based on the two groups of sewage state parameters, and the evaluation module is used for receiving the two groups of sewage state parameters applied in the decision stage of the decision module operation and evaluating the sewage treatment capacity of the EGA intelligent tank by applying the two groups of sewage state parameters;
wherein, the decision logic in the decision module is expressed as:
wherein:the sewage state parameters are acquired for the last operation of the monitoring layer; />The sewage state parameters are fed back by the feedback module;
the decision module decides that the EGA intelligent tank executes the secondary treatment on the treated sewage if the above formula is established, otherwise, the decision module decides that the EGA intelligent tank executes the output on the treated sewage;
the evaluation result of the EGA intelligent tank sewage treatment capacity in the evaluation module is obtained by the following formula:
wherein: delta is the sewage treatment capacity representation value of the EGA intelligent tank;after the EGA intelligent tank executes the secondary treatment operation on the treated sewage, the identification module in the monitoring layer synchronously operates the identified sewage state parameters;
the larger the sewage treatment capacity of the EGA intelligent tank is, the better the sewage treatment capacity of the EGA intelligent tank is, otherwise, the worse the sewage treatment capacity of the EGA intelligent tank is;
the lower level of the evaluation module is provided with a sub-module which comprises a visualization unit, wherein the visualization unit is used for receiving the decision-making module and the running application in the evaluation moduleIs->Based on->Is->Generating a line graph according to the corresponding parameters;
wherein, the system end user accesses the system through the wireless network, and the pair is based on the visualization unitAndReading a line graph generated by corresponding parameters, and continuously receiving by a visualization unit in a system continuous running stateIs->Using continuously received->Is->Generating a parameter representation line, placing the generated parameter representation line in a coordinate system formed by the same horizontal axis and the same vertical axis, and forming a line graph generated in a visualization unit by a plurality of groups of parameter representation lines and a coordinate system formed by a group of horizontal axes and a group of vertical axes;
the receiving module is electrically connected with the driving module, the jumping module and the feedback module through a medium, the receiving module is interactively connected with the setting module through a wireless network, the setting module is interactively connected with the acquisition module and the identification module through the medium, the feedback module is interactively connected with the decision module through the wireless network, the decision module is electrically connected with the evaluation module through the medium, and the lower stage of the evaluation module is electrically connected with the visualization unit through the medium.
In this embodiment, the control terminal operates the collection module in the control monitoring layer to collect the flow and the sewage image data of the sewage received by the sewage plant, the identification module synchronously receives the flow and the sewage image data of the sewage collected by the collection module, identifies the sewage state parameter based on the flow and the sewage image data, the setting module acquires the sewage state parameter identified by the identification module in real time, sets the EGA intelligent tank operation logic by applying the sewage state parameter, feeds back to the control layer, and the receiving module operates the EGA intelligent tank operation logic set in the receiving monitoring layer at a later position, and the driving module performsOne-step acquisition of EGA intelligent tank operation logic received in a receiving module, driving the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, monitoring the EGA intelligent tank operation logic operation state in real time by a skip module, triggering skip based on the EGA intelligent tank operation logic operation state, skip to a monitoring layer, obtaining again state parameters of sewage which is processed by the EGA intelligent tank by using the monitoring layer, controlling skip in the skip module to enable the monitoring layer to operate again, feeding back the obtained sewage state parameters to the anti-analysis layer by using a feedback module, finally, determining whether the treated sewage is processed again or output by using the EGA intelligent tank based on the two groups of sewage state parameters, evaluating the sewage treatment capacity of the EGA intelligent tank by using the two groups of sewage state parameters, and using the two groups of sewage state parameters in a visual unit receiving module and the application in the evaluation moduleIs->Based on->Is->Generating a line graph according to the corresponding parameters;
referring to fig. 2, the chart further shows a parameter line diagram generated in the visualization unit, based on information reading of the line diagram, further visual reading conditions of sewage state parameters can be brought to a system end user, based on arrow indication in the chart, a plurality of groups of parameter representation lines are aligned based on a left point to further generate a graph, and based on similarity identification of each line in the graph, the effect of the EGA intelligent tank on sewage treatment can be further reflected;
fig. 3 and 4 further show the distribution structure of stations inside the EGA smart slot and the specific working principle thereof.
Example 2:
in a specific implementation aspect, on the basis of embodiment 1, this embodiment further specifically describes an EGA intelligent tank remote intelligent control system for decentralized wastewater treatment in embodiment 1 with reference to fig. 1:
the recognition logic of the sewage state parameter in the recognition module is expressed as follows:
wherein:is a sewage state parameter; n is the total number of pixels in the sewage image; c (C) i A color value for the ith pixel; mu (mu) c The color mean value of the sewage image; chi is an influencing factor; />The maximum value of the color characteristic vector in the sewage image; />A minimum value of the color feature vector in the sewage image; i (I) is the gray value of the ith pixel; m is the gray average value of the sewage image;
wherein,sewage status parameter->The larger the value of (2) is, the higher the sewage pollution degree is, and otherwise, the lower the sewage pollution degree is;
the influence factor χ is calculated by the following formula:
wherein: g is the total amount of sewage fed into the anaerobic filter station; f is the instantaneous flow obtained based on the regulating valve when the sewage is sent into the anaerobic filter station; s is the collection of the pipeline connecting branch pipes used for feeding the anaerobic filter station; l (L) p The p group is sent into a pipeline connecting branch pipe used by the anaerobic filter station and a pipeline connecting node used by the anaerobic filter station to the pipeline part length of the anaerobic filter station;
parameters of sewage statusAfter the determination, the setting module is further based on the sewage status parameter +.>Setting EGA intelligent tank operation logic, wherein the set EGA intelligent tank operation logic is the circulation process of sewage in each station in the EGA intelligent tank, the circulation process of sewage in each station in the EGA intelligent tank comprises circulation times and residence time of sewage in each station in the EGA intelligent tank, and the circulation times and residence time of sewage in each station in the EGA intelligent tank obey the following conditions: sewage status parameter->The larger the value, the longer the number of turns and the residence time, specifically expressed as:
wherein: t (a) is single circulation time, namely residence time, of sewage in a station a in the EGA intelligent tank; q (a) is the circulation times of sewage in a working position a in the EGA intelligent tank; epsilon ', epsilon' are constants;
the epsilon 'corresponding to the single circulation time is set differently based on each station in the EGA intelligent tank, epsilon' corresponding to the circulation times is calculated based on any group of stations in the EGA intelligent tank and is further applied to the stations in all EGA intelligent tanks, epsilon '> 0, epsilon' is more than or equal to 1, values of epsilon 'and epsilon' are manually set by a user at a system end, and Q (a) is rounded up in the application stage after calculation.
Through the arrangement, the sewage state parameters are obtained, and necessary operation data support is provided for the evaluation of the sewage treatment capacity of the EGA intelligent tank in the evaluation module in the embodiment 1.
Example 3:
in a specific implementation aspect, on the basis of embodiment 1, this embodiment further specifically describes an EGA intelligent tank remote intelligent control system for decentralized wastewater treatment in embodiment 1 with reference to fig. 1:
the anaerobic filter station of the EGA intelligent tank is provided with a sewage tank between the anaerobic filter station of the EGA intelligent tank and a water inlet pipeline connected with the anaerobic filter station, the sewage tank is connected with the water inlet pipeline through a valve, sewage received by a sewage plant is collected into the sewage tank in real time, the sewage tank is communicated with the water inlet pipeline through valve control to be opened and closed, sewage in the sewage tank flows through the valve in the valve opening state, the sewage is input to the anaerobic filter station of the EGA intelligent tank through the water inlet pipeline, the valve connected with the sewage tank and the water inlet pipeline is in a continuous closing state in the system operation state, and the sewage is switched to the opening state after the treated sewage is output by the disinfection tank of the EGA intelligent tank.
Through the arrangement, the logic for the linkage operation of the EGA intelligent tank and the system is further provided under the state of configuring the EGA intelligent tank by the system, so that the operation process of the EGA intelligent tank under the control configured by the system is more stable and reliable.
In summary, in the above embodiment, the system can bring an intelligent control effect to the EGA intelligent tank during operation, and provide remote control conditions for the EGA intelligent tank, so that labor cost for the EGA intelligent tank management is reduced to a greater extent, and the EGA intelligent tank can adapt to new purification operation for sewage based on actual state of the sewage during operation, so that purification treatment of the sewage obtained by the EGA intelligent tank is more effective and stable, and the designed and set operation logic of the EGA intelligent tank of the system does not provide specified operation logic for the EGA intelligent tank any more, but is configured in real time to the sewage to be treated according to the operation logic of sewage treatment requirements, so that the sewage in any state can be purified better under the condition of carrying the intelligent control of the system by the EGA intelligent tank; meanwhile, the system can also monitor and evaluate the sewage treatment capacity of the EGA intelligent tank in real time based on the result of the operation of the EGA intelligent tank on the operation process, so that the stability of the application operation of the EGA intelligent tank is further ensured, and meanwhile, based on the feedback of the monitoring and evaluating result, the system is beneficial to the background manager of the EGA intelligent tank, and more adaptive maintenance and management are performed on the EGA intelligent tank, so that the operation process of the EGA intelligent tank is safer.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. The EGA intelligent tank remote intelligent control system for the decentralized sewage treatment is characterized by comprising a control terminal, a monitoring layer, a control layer and an analysis layer;
the control terminal is a main control terminal of the system and is used for sending out an execution command;
monitoring the sewage received by the sewage plant by a monitoring layer to acquire a received sewage state parameter, synchronously setting EGA intelligent tank operation logic based on the acquired sewage state parameter and feeding back the EGA intelligent tank operation logic to a control layer, wherein the control layer receives the EGA intelligent tank operation logic set in the monitoring layer in real time, drives the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, receives the sewage, processes the sewage based on the set EGA intelligent tank operation logic, and executes the acquisition operation of the sewage state parameter again by the monitoring layer, feeds back the acquired sewage state parameter to an analysis layer, and the analysis layer decides the circulation of the sewage based on the received sewage state parameter and synchronously receives the sewage state parameter acquired by the last operation of the monitoring layer, and evaluates the sewage processing capacity of the EGA intelligent tank based on the two groups of the received sewage state parameters;
the control layer comprises a receiving module, a driving module, a jumping module and a feedback module, wherein the receiving module is used for receiving EGA intelligent tank operation logic set in the monitoring layer, the driving module is used for acquiring the EGA intelligent tank operation logic received in the receiving module, driving the EGA intelligent tank to operate by using the EGA intelligent tank operation logic, the jumping module is used for monitoring the EGA intelligent tank operation logic operation state, jumping is triggered to the monitoring layer based on the EGA intelligent tank operation logic operation state, the state parameter of the treated sewage which is completed by the EGA intelligent tank by using the monitoring layer is acquired again, and the feedback module is used for receiving the sewage state parameter which is acquired by controlling the jumping in the jumping module to enable the monitoring layer to operate again and feeding the sewage state parameter back to the anti-analysis layer;
the logic for triggering the jump based on the EGA intelligent slot operation logic operation state in the jump module is expressed as follows:
；
wherein:monitoring the total amount of EGA intelligent tank operation logic operation time; />The method is a set of stations in the EGA intelligent tank; />The circulation times of sewage in a working position a in the EGA intelligent tank are shown; />The single circulation time of the sewage in the station a in the EGA intelligent tank is set;
wherein the saidJumping to a module operation stage, monitoring the EGA intelligent slot operation state in real time, and synchronously applying when the EGA intelligent slot operation state is switched to an open state based on operation logicPerform timing operations in->After timing is finished, the skip module further executes control skip operation to control the monitoring layer to run again;
the monitoring layer comprises an acquisition module, a recognition module and a setting module, wherein the acquisition module is integrated by a regulating valve and a camera module, the acquisition module is used for acquiring the flow and the sewage image data of sewage received by a sewage plant, the recognition module is used for receiving the sewage flow and the sewage image data acquired by the acquisition module, recognizing sewage state parameters based on the sewage flow and the sewage image data, the setting module is used for acquiring the sewage state parameters recognized by the recognition module, setting EGA intelligent tank operation logic by applying the sewage state parameters and feeding back to the control layer;
the EGA intelligent tank is integrated by an oxygen eliminating tank station, an anaerobic filter tank station, an aerobic MBBR tank station, a filter tank and a disinfection tank, sewage received by a sewage plant is input to the anaerobic filter tank station of the EGA intelligent tank through a pipeline, and purified sewage obtained after treatment by all stations is output in the disinfection tank;
the recognition logic of the sewage state parameter in the recognition module is expressed as follows:
；
wherein:is a sewage state parameter; />The total number of pixels in the sewage image; />A color value for the ith pixel; />The color mean value of the sewage image; />Is an influencing factor; />The maximum value of the color characteristic vector in the sewage image; />A minimum value of the color feature vector in the sewage image; />A gray value for the i-th pixel; />The gray level average value of the sewage image;
wherein,sewage status parameter->The larger the value of (2) is, the higher the sewage pollution degree is, and otherwise, the lower the sewage pollution degree is;
the influencing factorsThe calculation is performed by the following formula:
；
wherein:the total amount of sewage fed into the anaerobic filter station; />The sewage is sent into an anaerobic filter station and is subjected to instantaneous flow obtained based on a regulating valve; />The collection of the pipeline connecting branch pipes for feeding into the anaerobic filter station; />And (3) feeding the p-th group into a pipeline connecting branch pipe used for the anaerobic filter station and a pipeline connecting node used for the anaerobic filter station to the pipeline part length of the anaerobic filter station.
2. The remote intelligent control system of an EGA intelligent tank for decentralized wastewater treatment according to claim 1, wherein the wastewater status parameter isAfter the determination, the setting module is further based on the sewage status parameter +.>Setting EGA intelligent tank operation logic, wherein the set EGA intelligent tank operation logic is the circulation process of sewage in each station in the EGA intelligent tank, the circulation process of sewage in each station in the EGA intelligent tank comprises circulation times and residence time of sewage in each station in the EGA intelligent tank, and the circulation times and residence time of sewage in each station in the EGA intelligent tank obey the following conditions: sewage status parameter->The larger the value, the longer the number of turns and the residence time, specifically expressed as:
；
wherein:the single circulation time of the sewage in the station a in the EGA intelligent tank is the residence time; />The circulation times of sewage in a working position a in the EGA intelligent tank are shown; />、/>Is a constant;
wherein, the single circulation time corresponds toBased on different setting of stations in EGA intelligent tank, corresponding number of times of flowSolving based on any group of working positions in the EGA intelligent grooves, and further applying the working positions to all the working positions in the EGA intelligent grooves, wherein +.>＞0，/>Not less than 1, and->、/>The value of (2) is manually set by the user at the system end, < >>In the application phase after the determination, +.>The value is rounded up.
3. The remote intelligent control system for the EGA intelligent tank for the decentralized sewage treatment according to claim 1, wherein a sewage tank is arranged between the anaerobic filter station of the EGA intelligent tank and a water inlet pipeline connected with the anaerobic filter station, the sewage tank is connected with the water inlet pipeline through a valve, sewage received by a sewage plant is converged into the sewage tank in real time, the sewage tank is communicated with the water inlet pipeline through the valve to be opened and closed, sewage in the sewage tank flows through the valve in the valve opening state and is input to the anaerobic filter station of the EGA intelligent tank through the water inlet pipeline, and the valve connected with the sewage tank and the water inlet pipeline is in a continuous closing state in the system operation state until the disinfection tank of the EGA intelligent tank outputs treated sewage, and then the valve is switched to the opening state.
4. The remote intelligent control system of the EGA intelligent tank for the decentralized wastewater treatment according to claim 1, wherein the analysis layer comprises a decision module and an evaluation module, the decision module is used for receiving the wastewater state parameters fed back by the feedback module in the control layer and the wastewater state parameters acquired by the last operation of the monitoring layer, the EGA intelligent tank is used for carrying out retreatment or output on the wastewater after the treatment based on the two groups of wastewater state parameters, the evaluation module is used for receiving the two groups of wastewater state parameters applied in the decision stage of the decision module operation, and the two groups of wastewater state parameters are used for evaluating the wastewater treatment capacity of the EGA intelligent tank;
wherein, the decision logic in the decision module is expressed as:
；
wherein:to monitor the layerThe sewage state parameters obtained by one-time operation; />The sewage state parameters are fed back by the feedback module;
and if the above formula is established, the decision result of the decision module is that the EGA intelligent tank executes the secondary treatment on the treated sewage, otherwise, the decision result of the decision module is that the EGA intelligent tank executes the output on the treated sewage.
5. The remote intelligent control system of an EGA intelligent tank for decentralized wastewater treatment according to claim 4, wherein the evaluation result of the EGA intelligent tank in the evaluation module is obtained by the following formula:
；
wherein:the sewage treatment capacity of the EGA intelligent tank is expressed as a value; />After the EGA intelligent tank executes the secondary treatment operation on the treated sewage, the identification module in the monitoring layer synchronously operates the identified sewage state parameters;
wherein, EGA intelligent tank sewage treatment capability expression valueThe larger the EGA intelligent tank sewage treatment capacity is, the better the EGA intelligent tank sewage treatment capacity is, and on the contrary, the worse the EGA intelligent tank sewage treatment capacity is.
6. The remote intelligent control system of an EGA intelligent tank for decentralized wastewater treatment according to claim 5, wherein the lower level of the evaluation module is provided with a sub-module comprising a visualization unit for visualizationThe chemical unit is used for receiving the running application in the decision module and the evaluation module、/>Is->Based on->、/>Is->Generating a line graph according to the corresponding parameters;
wherein, the system end user accesses the system through the wireless network, and the pair is based on the visualization unit、/>Is->Reading a line graph generated by corresponding parameters, and continuously receiving the +.>、/>AndUsing continuously received +.>、/>Is->And generating a parameter representation line, placing the generated parameter representation line in a coordinate system formed by the same horizontal axis and the same vertical axis, and forming a line graph generated in the visualization unit by a coordinate system formed by a plurality of groups of parameter representation lines and a group of horizontal axis and a group of vertical axis.
7. The remote intelligent control system of the EGA intelligent tank for the decentralized wastewater treatment according to claim 1, wherein the receiving module is electrically connected with the driving module, the jumping module and the feedback module through a medium, the receiving module is interactively connected with the setting module through a wireless network, the setting module is electrically connected with the acquisition module and the identification module through the medium, the feedback module is interactively connected with the decision module through the wireless network, the decision module is electrically connected with the evaluation module through the medium, and the lower stage of the evaluation module is electrically connected with the visualization unit through the medium.
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